GitLab

* cleanup: remove OLLAMA_TMPDIR
* cleanup: ollama doesn't use temporary executables anymore

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Co-authored-by: Richard Lyons <frob@cloudstaff.com>

With support for multimodal models becoming more varied and common it is important for clients to be able to easily see what capabilities a model has. Retuning these from the show endpoint will allow clients to easily see what a model can do.

The problem with default.target is that it always points to the target that is currently started. So if you boot into single user mode or the rescue mode still Ollama tries to start.

I noticed this because either tried (and failed) to start all the time during a system update, where Ollama definitely is not wanted.

To stay under the 2G github artifact limit, we're splitting ROCm
out like we do on linux.

Previously, developers without the synctest experiment enabled would see
build failures when running tests in some server/internal/internal
packages using the synctest package. This change makes the transition to
use of the package less painful but guards the use of the synctest
package with build tags.

synctest is enabled in CI. If a new change will break a synctest
package, it will break in CI, even if it does not break locally.

The developer docs have been updated to help with any confusion about
why package tests pass locally but fail in CI.

* Windows ARM build

Skip cmake, and note it's unused in the developer docs.

* Win: only check for ninja when we need it

On windows ARM, the cim lookup fails, but we don't need ninja anyway.

Co-authored-by: Richard Lyons <frob@cloudstaff.com>

Co-authored-by: Richard Lyons <frob@cloudstaff.com>

* add build to .dockerignore

* test: only build one arch

* add build to .gitignore

* fix ccache path

* filter amdgpu targets

* only filter if autodetecting

* Don't clobber gpu list for default runner

This ensures the GPU specific environment variables are set properly

* explicitly set CXX compiler for HIP

* Update build_windows.ps1

This isn't complete, but is close.  Dependencies are missing, and it only builds the "default" preset.

* build: add ollama subdir

* add .git to .dockerignore

* docs: update development.md

* update build_darwin.sh

* remove unused scripts

* llm: add cwd and build/lib/ollama to library paths

* default DYLD_LIBRARY_PATH to LD_LIBRARY_PATH in runner on macOS

* add additional cmake output vars for msvc

* interim edits to make server detection logic work with dll directories like lib/ollama/cuda_v12

* remove unncessary filepath.Dir, cleanup

* add hardware-specific directory to path

* use absolute server path

* build: linux arm

* cmake install targets

* remove unused files

* ml: visit each library path once

* build: skip cpu variants on arm

* build: install cpu targets

* build: fix workflow

* shorter names

* fix rocblas install

* docs: clean up development.md

* consistent build dir removal in development.md

* silence -Wimplicit-function-declaration build warnings in ggml-cpu

* update readme

* update development readme

* llm: update library lookup logic now that there is one runner (#8587)

* tweak development.md

* update docs

* add windows cuda/rocm tests

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Co-authored-by: jmorganca <jmorganca@gmail.com>
Co-authored-by: Daniel Hiltgen <daniel@ollama.com>

Co-authored-by: Jeffrey Morgan <jmorganca@gmail.com>

* openai: return usage as final chunk for streams

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Co-authored-by: ParthSareen <parth.sareen@ollama.com>

The "F" was missing.

* llama: wire up builtin runner

This adds a new entrypoint into the ollama CLI to run the cgo built runner.
On Mac arm64, this will have GPU support, but on all other platforms it will
be the lowest common denominator CPU build.  After we fully transition
to the new Go runners more tech-debt can be removed and we can stop building
the "default" runner via make and rely on the builtin always.

* build: Make target improvements

Add a few new targets and help for building locally.
This also adjusts the runner lookup to favor local builds, then
runners relative to the executable, and finally payloads.

* Support customized CPU flags for runners

This implements a simplified custom CPU flags pattern for the runners.
When built without overrides, the runner name contains the vector flag
we check for (AVX) to ensure we don't try to run on unsupported systems
and crash.  If the user builds a customized set, we omit the naming
scheme and don't check for compatibility.  This avoids checking
requirements at runtime, so that logic has been removed as well.  This
can be used to build GPU runners with no vector flags, or CPU/GPU
runners with additional flags (e.g. AVX512) enabled.

* Use relative paths

If the user checks out the repo in a path that contains spaces, make gets
really confused so use relative paths for everything in-repo to avoid breakage.

* Remove payloads from main binary

* install: clean up prior libraries

This removes support for v0.3.6 and older versions (before the tar bundle)
and ensures we clean up prior libraries before extracting the bundle(s).
Without this change, runners and dependent libraries could leak when we
update and lead to subtle runtime errors.